Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China

Abstract

Background: There is evidence that body mass index (BMI) is closely related to hyperlipidemia. This study aimed to estimate the cross-sectional relationship between Body Mass Index (BMI) and hyperlipidemia. Methods: We recruited 21,435 subjects (aged 18–79 years and residing in Jilin province, China) using the multistage stratified cluster random sampling method. Subjects were interviewed with a standardized questionnaire and physically examined. We analyzed the cross-sectional relationship between BMI and hyperlipidemia. Results: The prevalence of hyperlipidemia was 51.09% (52.04% in male and 50.21% in female). The prevalence of overweight and obesity was 31.89% and 6.23%, respectively. Our study showed that underweight (OR = 0.499, 95% CI: 0.426–0.585), overweight (OR = 2.587, 95% CI: 2.428–2.756), and obesity (OR = 3.614, 95% CI: 3.183–4.104) were significantly associated with hyperlipidemia (p < 0.001) in the age- and sex-adjusted logistic regression. After further adjusting for age, gender, region, district, ethnicity, education, marital status, main occupation, monthly family income per capita, smoking, drinking, exercise, central obesity, waist and hip, underweight (OR = 0.729, 95% CI: 0.616–0.864), overweight (OR = 1.651, 95% CI: 1.520–1.793), and obesity (OR = 1.714, 95% CI: 1.457–2.017) were independently associated with hyperlipidemia (p < 0.001). The restricted cubic spline model illustrated a nonlinear dose-response relationship between levels of BMI and the prevalence of hyperlipidemia (Pnonlinearity < 0.001). Conclusion: Our study demonstrated that the continuous variance of BMI was significantly associated with the prevalence of hyperlipidemia.

Prevalence of stroke and stroke related risk factors: a population based cross sectional survey in southwestern China

“…Current smoking (≥1 cigarette per day) was defined by subjects' self-report. Body mass index (BMI) was calculated as weight (kg) divided by height squared (m 2 ), and overweight or obesity was defined as BMI ≥26 kg/m 2 [19]. Physical inactivity was defined as physical exercise < 3 times a week for < 30 min each time, and this included industrial and agricultural labour [20].…”

Association of Body Mass Index with Dyslipidemia among the Government Staff of Kermanshah, Iran: A Cross-Sectional Study

“…Moreover, a case-control study on 164 patients with 30 -64 years of age showed a significantly decreased level of serum lipids in people exposed to smoke, when compared to non- (35). Similarly, a Chinese study showed a significant nonlinear association between BMI and raised risk of hyperlipidemia, with a significantly increased trend of odds ratio following 1 kg/m2 increase in BMI (8).…”

“…In addition, the prevalence of hyperlipidemia in China has been reported to be 51.09%. There was also a frequency of 8.68% in rural and 5.74% in urban areas of India (8,20).…”

“…A remarkable relationship has been reported between BMI and hyperlipidemia in various studies. Nonetheless, when conducting multivariate analysis, BMI in these studies had been converted into a categorical variable (8).…”

The Association Between Diet and Mental Health in Chinese People

“…The general mental health status of the participants was evaluated, using the 12-item general health questionnaire (GHQ-12). For further information, the methods are fully described in our articles (6,7). SPSS version 19.0 was used for statistical analysis.…”